| Matrix factorization-based technique for drug repurposing predictions G Ceddia, P Pinoli, S Ceri, M Masseroli IEEE journal of biomedical and health informatics 24 (11), 3162-3172, 2020 | 57 | 2020 |
| Association rule mining to identify transcription factor interactions in genomic regions G Ceddia, LN Martino, A Parodi, P Secchi, S Campaner, M Masseroli Bioinformatics 36 (4), 1007-1013, 2020 | 24 | 2020 |
| Computational analysis of fused co-expression networks for the identification of candidate cancer gene biomarkers S Pidò, G Ceddia, M Masseroli NPJ Systems Biology and Applications 7 (1), 17, 2021 | 19 | 2021 |
| Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson’s disease K Mihajlović, G Ceddia, N Malod-Dognin, G Novak, D Kyriakis, A Skupin, ... Scientific Reports 14 (1), 10983, 2024 | 16 | 2024 |
| Predicting drug synergism by means of non-negative matrix tri-factorization P Pinoli, G Ceddia, S Ceri, M Masseroli IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 15 | 2021 |
| Drug repositioning predictions by non-negative matrix tri-factorization of integrated association data G Dissez, G Ceddia, P Pinoli, S Ceri, M Masseroli Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019 | 15 | 2019 |
| A multi-omics integrative approach unravels novel genes and pathways associated with senescence escape after targeted therapy in NRAS mutant melanoma V Gureghian, H Herbst, I Kozar, K Mihajlovic, N Malod-Dognin, G Ceddia, ... Cancer gene therapy 30 (10), 1330-1345, 2023 | 13 | 2023 |
| Non-negative matrix tri-factorization for data integration and network-based drug repositioning G Ceddia, P Pinoli, S Ceri, M Masseroli 2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019 | 13 | 2019 |
| A functional analysis of omic network embedding spaces reveals key altered functions in cancer S Doria-Belenguer, A Xenos, G Ceddia, N Malod-Dognin, N Pržulj Bioinformatics 39 (5), btad281, 2023 | 9 | 2023 |
| Piercesare Secchi, Stefano Campaner, and Marco Masseroli. Association rule mining to identify transcription factor interactions in genomic regions G Ceddia, LN Martino, A Parodi Bioinformatics (Oxford, England), 2019 | 7 | 2019 |
| Network modeling and analysis of normal and cancer gene expression data G Ceddia, S Pidò, M Masseroli International Meeting on Computational Intelligence Methods for …, 2019 | 6 | 2019 |
| The axes of biology: a novel axes-based network embedding paradigm to decipher the functional mechanisms of the cell S Doria-Belenguer, A Xenos, G Ceddia, N Malod-Dognin, N Pržulj Bioinformatics Advances 4 (1), vbae075, 2024 | 5 | 2024 |
| Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022 … I Koprinska, P Mignone, R Guidotti, S Jaroszewicz, H Fröning, F Gullo, ... Springer Nature, 2023 | 4 | 2023 |
| Using GMQL-web for querying, downloading and integrating public with private genomic datasets M Settino, A Bernasconi, G Ceddia, G Agapito, M Masseroli, M Cannataro Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019 | 4 | 2019 |
| A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia N Malod-Dognin, G Ceddia, M Gvozdenov, B Tomić, S Dunjić Manevski, ... Plos one 18 (4), e0284084, 2023 | 2 | 2023 |
| Identification of transcription factor high accumulation DNA zones S Cascianelli, G Ceddia, A Marchesi, M Masseroli BMC bioinformatics 24 (1), 395, 2023 | 1 | 2023 |
| TFARM: Transcription Factor Associatio Rule LN Martino | | 2025 |
| Inferring Breast Cancer Subtype Associations Using an Original Omics Integration Based on Non-negative M Tri-Factorization, C Riccio-Rengifo, S Cascianelli, G Ceddia Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2025 | | 2025 |
| Inferring Breast Cancer Subtype Associations Using an Original Omics Integration Based on Non-negative Matrix Tri-Factorization C Riccio-Rengifo, S Cascianelli, G Ceddia, M Masseroli International Meeting on Computational Intelligence Methods for …, 2023 | | 2023 |
| Non-negative Matrix Tri-Factorization for data integration and knowledge inference on breast cancer subtyping CR Rengifo, S Cascianelli, G Ceddia, M Masseroli Proceedings of the 19th Conference on Computational Intelligence Methods for …, 2023 | | 2023 |
Marco MasseroliPolitecnico di MilanoVerified email at polimi.it
